• 検索結果がありません。

Table 1 Demographic characteristics and cardiovascular risk factors according to sex

N/A
N/A
Protected

Academic year: 2021

シェア "Table 1 Demographic characteristics and cardiovascular risk factors according to sex"

Copied!
6
0
0

読み込み中.... (全文を見る)

全文

(1)

Table 1 Demographic characteristics and cardiovascular risk factors according to sex

All (n=456) men (n=265) women (n=191) P value

Age (years) 61±13 61±13 62±12 0.23

Body mass index (kg/m2) 24±4 24±4 23±3 0.19

Current smoking, n (%) 125 (27) 112 (42) 13 (7) <0.01 Hypertension, n (%) 263 (58) 158 (60) 105 (55) 0.32 Dyslipidemia, n (%) 216 (84) 117 (44) 99 (52) 0.11 Diabetes mellitus, n (%) 178 (39) 110 (42) 68 (36) 0.2 Systolic blood pressure (mmHg) 129±19 129±18 129±20 0.32 Diastolic blood pressure (mmHg) 75±10 76±10 74±11 0.22 Total cholesterol (mg/dl) 192±37 185±35 201±38 <0.01 Triglycerides (mg/dl) 107 [70] 110 [82] 102 [60] 0.28 HDL cholesterol (mg/dl) 58±17 54±16 62±18 <0.01 LDL cholesterol (mg/dl) 115±30 111±30 120±30 <0.01

HemoglobinA1c (%) 6.6±1.7 6.6±1.6 6.5±1.8 0.67

Creatinine (mg/dl) 0.73±0.13 0.80±0.10 0.62±0.10 <0.01

eGFR (mL/min/1.73m2) 78±13 78±14 77±12 0.14

Cystatin C (mg/l) 0.91 [0.22] 0.96 [0.23] 0.88 [0.18] <0.01 Agatston score 8 [146] 24 [219] 0 [53] <0.01 Medications

ACEIs or ARBs, n (%) 148 (32) 89 (34) 59 (31) 0.57 β-blocker, n (%) 83 (18) 52 (20) 31 (16) 0.37 Calcium channel blockers, n (%) 120 (26) 72 (27) 48 (25) 0.65

(2)

Statins, n (%) 122 (27) 61 (12) 61 (32) 0.03 Hypoglycemic agents, n (%) 130 (29) 82 (31) 48 (25) 0.18

Values are mean ± SD, n (%), or median [interquartile range].

eGFR, estimated glomerular filtration rate; ACEI, angiotensin-converting enzyme inhibitor, ARB;

angiotensin II receptor blocker. p value, men versus women.

(3)

Table 2 Demographic characteristics according to the Agatston score

All

Mild CAC 0-9

Moderate CAC 10-399

Severe CAC

>400 (n=456) (n=235) (n=157) (n=64)

Age (years) 61±13 56±14 65±10 * 71±7 *,†

Men, n (%) 265 (58) 117 (50) 98 (62) * 50 (78) *,†

Body mass index (kg/m2) 24±4 23±4 24±4 23±3

Smoking, n (%) 125 (27) 69 (29) 38 (27) 18 (28) Hypertension, n (%) 263 (58) 119 (51) 106 (68) * 38 (59) Dyslipidemia, n (%) 216 (84) 99 (42) 87 (55) * 30 (47) Diabetes mellitus, n (%) 178 (39) 72 (31) 70 (45) * 36 (56) * Total cholesterol (mg/dl) 192±37 193±35 192±40 186±37 Systolic blood pressure (mmHg) 129±19 129±18 128±20 130±19 Diastolic blood pressure (mmHg) 75±10 76±10 74±11 75±10 Triglycerides (mg/dl) 107 [70] 105 [68] 107 [74] 108 [73]

HDL cholesterol (mg/dl) 58±17 59±17 55±17 60±18 LDL cholesterol (mg/dl) 115±30 116±29 116±31 107±31 Hemoglobin A1c (%) 6.6±1.7 6.5±1.9 6.7±1.7 6.6±1.0 Creatinine (mg/dl) 0.73±0.13 0.72±0.14 0.73±0.14 0.75±0.11

eGFR (mL/min/1.73m2) 78±13 78±14 77±12 75±12

Cystatin C (mg/l) 0.91 [0.22] 0.89 [0.22] 0.94 [0.21] 0.97 [0.16] * Medications

ACEI or ARB, n (%) 148 (32) 61 (26) 62 (39) * 25 (39) *

(4)

β-blockers, n (%) 83 (18) 48 (20) 30 (19) 5 (8) *,†

Calcium channel blocker, n (%) 120 (26) 44 (19) 51 (32) * 25 (39) * Statin, n (%) 122 (27) 51 (22) 53 (34) * 18 (28) Hypoglycemic agents, n (%) 130 (29) 57 (24) 47 (30) 26 (41) *

Values are mean ± SD, n (%), or median [interquartile range].

eGFR, estimated glomerular filtration rate; ACEI, angiotensin-converting enzyme inhibitor, ARB;

angiotensin II receptor blocker.

*p<0.05 versus CAC of 0–9, †p<0.05 versus CAC of 10–399.

(5)

Table 3 Multivariate predictors of severe CAC >400 in men and women with preserved renal function

All (n=456) Men (n=265) Women (n=191)

Univariate Multivariate Univariate Multivariate Univariate Multivariate

OR(95%CI) P value

OR(95%CI) P value

OR (95%CI) P value

OR(95%CI) P value

OR(95%CI) P value

OR(95%CI) P value

Cystatin C (>

cutoff value)

2.49 (1.33-

4.65) <0.01

1.29 (0.63-

2.60) 0.49

4.04 (0.94-

17.49) 0.06

2.96 (0.62-

14.15) 0.2

6.95 (1.51-

31.976) 0.01

7.80 (1.76-

34.6) <0.01

Sex (men=1)

2.94 (1.57- 5.50)

<0.01

3.10 (1.46- 6.56)

<0.01

Hypertension

1.09 (0.63-

1.86) 0.77

0.73(0.38-

1.40) 0.34

0.83 (0.44-

1.55) 0.56

0.50(0.24-

1.0) 0.1

2.16 (0.65-

7.14) 0.21

1.74(0.28-

10.73) 0.6

Dyslipidemia

0.98 (0.58- 1.66)

0.93

1.25(0.58- 2.69)

0.56

0.73 (0.39- 1.38)

0.73

0.67(0.26- 17.67)

0.4

3.71 (1.00- 13.75)

0.05

9.45 (0.97- 91.99)

0.1

Diabetes Mellitus

2.26 (1.33- 3.88)

<0.01 2.36(1.27- 4.39)

<0.01 2.29 (1.22- 4.27)

0.01 2.90(1.39- 6.02)

<0.01 1.90 (0.64- 5.67)

0.25 1.35 (0.33- 5.51)

0.7

Smoking

1.12 (0.61-

2.04) 0.71

0.77(0.39-

1.53) 0.77

0.78 (0.41-

1.49) 0.45

0.80(0.39-

1.64) 0.5 N/A N/A N/A N/A

Age (>65) 4.97 (2.66- 9.28)

<0.01 4.67(2.33- 9.38)

<0.01 5.34 (2.64- 10.82)

<0.01 4.96 (2.24- 10.84)

<0.01 6.64 (1.45- 30.54)

0.01 2.60 (0.44- 15.23)

0.3

(6)

Statin use 1.09 (0.60-

1.98) 0.78

0.82 (0.35-

1.93) 0.66

0.96 (0.46-

2.02) 0.91

1.22 (0.40-

3.69) 0.7

2.11 (0.71-

6.32) 0.18

0.80 (0.18-

3.60) 0.8

Cutoff values in all patients, men, and women were 0.88, 0.78, and 0.97 mg/dl, respectively.

N/A, not available

Table 1 Demographic characteristics and cardiovascular risk factors according to sex
Table 2 Demographic characteristics according to the Agatston score  All  Mild CAC    0-9  Moderate CAC   10-399  Severe CAC &gt;400  (n=456)   (n=235)  (n=157)  (n=64)  Age (years)  61±13  56±14  65±10 *  71±7 *,†  Men, n (%)  265 (58)  117 (50)  98 (62)
Table 3 Multivariate predictors of severe CAC &gt;400 in men and women with preserved renal function

参照

関連したドキュメント

To confirm the relationship between the fall risk assess- ment items and risk factors assumed in this study (to sta- tistically confirm component items of each risk factor),

We investigated whether HSCs activated by AngII in cancerous stromal tissues released SDF-1 into collagen-rich ICC tissues and hypothesized that the AngII/AngII type 1

These are several genetically modified animal models for cardiac hypertrophy, in which the cardiac RAS is targeted [26]. They are largely the mouse models that aimed at

Table 3 Measurement results of breaking mode 60W, Maximum feed rate.. and table

Reference mortgage portfolio Selected, RMBS structured credit reference portfolio risk, market valuation, liquidity risk, operational misselling, SIB issues risk, tranching

Since there do exist PBQ filtrations, the comparison between the log-growth filtrations and the Frobenius slope filtrations for PBQ modules both at the generic point and at the

Our analyses reveal that the estimated cumulative risk of HD symptom onset obtained from the combined data is slightly lower than the risk estimated from the proband data

5) Uemura O, Nagai T, Ishikura K, Ito S, Hataya H, Gotoh Y, Fujita N, Akioka Y, Kaneko T, Honda M: Creatinine-based equation to esti- mate the glomerular filtration rate in